Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland

Different approaches have been proposed in recent years to map glacier zones using Synthetic Aperture Radar (SAR). Most of them rely on empirical or statistical approaches for the interpretation of backscatter intensity measurements and their seasonal variations related to the melting regime of the...

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Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: Giuseppe Parrella, Irena Hajnsek, Konstantinos P. Papathanassiou
Format: Article in Journal/Newspaper
Language:English
Published: IEEE 2021
Subjects:
Online Access:https://doi.org/10.1109/JSTARS.2021.3126069
https://doaj.org/article/f1b1892f86334a29a9f02165c4de81d8
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spelling ftdoajarticles:oai:doaj.org/article:f1b1892f86334a29a9f02165c4de81d8 2023-05-15T15:10:46+02:00 Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland Giuseppe Parrella Irena Hajnsek Konstantinos P. Papathanassiou 2021-01-01T00:00:00Z https://doi.org/10.1109/JSTARS.2021.3126069 https://doaj.org/article/f1b1892f86334a29a9f02165c4de81d8 EN eng IEEE https://ieeexplore.ieee.org/document/9609650/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2021.3126069 https://doaj.org/article/f1b1892f86334a29a9f02165c4de81d8 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11593-11607 (2021) Firn line glacier zones Greenland polarimetric synthetic aperture radar (SAR) polarization phase difference Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 article 2021 ftdoajarticles https://doi.org/10.1109/JSTARS.2021.3126069 2022-12-31T07:20:00Z Different approaches have been proposed in recent years to map glacier zones using Synthetic Aperture Radar (SAR). Most of them rely on empirical or statistical approaches for the interpretation of backscatter intensity measurements and their seasonal variations related to the melting regime of the different glacier zones. This article focuses on the potential of polarimetric SAR measurements to characterize the scattering in the different glacier zones in order to distinguish between them. For this, a general two-component scattering model is proposed, accounting for surface and subsurface contributions in the different glacier zones. The (anisotropic) propagation through snow, firn, and ice layers is also accounted for as it plays an important role in the interpretation of the polarimetric signatures. A set of five polarimetric descriptors is proposed to describe the projection of the model on the SAR measurements. The ability of the model to characterize the scattering in the different glacier zones is validated and discussed at different frequencies (X-, C-, and L-band). For this, a multifrequency airborne SAR dataset acquired by the DLR's F-SAR sensor in West Greenland during the ARCTIC 2015 campaign is used. The achieved results indicate that L-band polarimetric measurements allow to differentiate the different glacier zones based on the subsurface (e.g., volume) scattering characteristics. In contrast, the increased (back-) scattering complexity and the reduced penetration capability limit the potential of X- and C-band polarimetric measurements. Article in Journal/Newspaper Arctic glacier Greenland Directory of Open Access Journals: DOAJ Articles Arctic Greenland Line Glacier ENVELOPE(167.833,167.833,-72.983,-72.983) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 11593 11607
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Firn line
glacier zones
Greenland
polarimetric synthetic aperture radar (SAR)
polarization phase difference
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
spellingShingle Firn line
glacier zones
Greenland
polarimetric synthetic aperture radar (SAR)
polarization phase difference
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
Giuseppe Parrella
Irena Hajnsek
Konstantinos P. Papathanassiou
Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
topic_facet Firn line
glacier zones
Greenland
polarimetric synthetic aperture radar (SAR)
polarization phase difference
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
description Different approaches have been proposed in recent years to map glacier zones using Synthetic Aperture Radar (SAR). Most of them rely on empirical or statistical approaches for the interpretation of backscatter intensity measurements and their seasonal variations related to the melting regime of the different glacier zones. This article focuses on the potential of polarimetric SAR measurements to characterize the scattering in the different glacier zones in order to distinguish between them. For this, a general two-component scattering model is proposed, accounting for surface and subsurface contributions in the different glacier zones. The (anisotropic) propagation through snow, firn, and ice layers is also accounted for as it plays an important role in the interpretation of the polarimetric signatures. A set of five polarimetric descriptors is proposed to describe the projection of the model on the SAR measurements. The ability of the model to characterize the scattering in the different glacier zones is validated and discussed at different frequencies (X-, C-, and L-band). For this, a multifrequency airborne SAR dataset acquired by the DLR's F-SAR sensor in West Greenland during the ARCTIC 2015 campaign is used. The achieved results indicate that L-band polarimetric measurements allow to differentiate the different glacier zones based on the subsurface (e.g., volume) scattering characteristics. In contrast, the increased (back-) scattering complexity and the reduced penetration capability limit the potential of X- and C-band polarimetric measurements.
format Article in Journal/Newspaper
author Giuseppe Parrella
Irena Hajnsek
Konstantinos P. Papathanassiou
author_facet Giuseppe Parrella
Irena Hajnsek
Konstantinos P. Papathanassiou
author_sort Giuseppe Parrella
title Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
title_short Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
title_full Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
title_fullStr Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
title_full_unstemmed Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
title_sort model-based interpretation of polsar data for the characterization of glacier zones in greenland
publisher IEEE
publishDate 2021
url https://doi.org/10.1109/JSTARS.2021.3126069
https://doaj.org/article/f1b1892f86334a29a9f02165c4de81d8
long_lat ENVELOPE(167.833,167.833,-72.983,-72.983)
geographic Arctic
Greenland
Line Glacier
geographic_facet Arctic
Greenland
Line Glacier
genre Arctic
glacier
Greenland
genre_facet Arctic
glacier
Greenland
op_source IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11593-11607 (2021)
op_relation https://ieeexplore.ieee.org/document/9609650/
https://doaj.org/toc/2151-1535
2151-1535
doi:10.1109/JSTARS.2021.3126069
https://doaj.org/article/f1b1892f86334a29a9f02165c4de81d8
op_doi https://doi.org/10.1109/JSTARS.2021.3126069
container_title IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
container_volume 14
container_start_page 11593
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